天孚通信｜【2027届应届生】运营助理

1.负责生产、质量、成本等核心运营数据的收集、统计与可视化呈现，协助搭建关键运营指标看板，按周/月整理运营分析基础素材，同步给部门核心管理团队。 2.跟进产品良率、设备OEE、物料损耗等核心指标的日常异动，协助完成异常数据的初步归因梳理，为后续改善动作提供数据支撑。 3.跟进运营专项改善项目的落地执行，定期统计项目推进进度，量化阶段性改善效果，形成标准化的跟进台账。 4.协助完成经营汇报、年度预算测算所需的基础数据整理工作，核对数据口径，保障输出材料的准确性与逻辑严谨性。 5.协助统一工厂各部门的运营数据统计标准，配合协调跨部门运营事项，同步跟进各项运营通知、制度的落地执行与反馈收集。 6.完成部门日常行政事务处理，包括运营资料归档、会议纪要整理、跨部门对接的基础事务协调，为团队日常运营提供后勤支持。 Responsibilities 1. Responsible for collecting, compiling, and visually presenting core operational data such as production, quality, and cost. Assist in establishing key operational indicator dashboards, organize weekly/monthly operational analysis materials, and synchronize them with the department's core management team. 2. Monitor daily fluctuations in core indicators such as product yield, equipment OEE, and material loss, assist in the preliminary attribution and analysis of abnormal data, and provide data support for subsequent improvement actions. 3. Follow up on the implementation of operational special improvement projects, regularly track project progress, quantify phased improvement effects, and establish standardized follow-up ledgers. 4. Assist in completing the basic data collation work required for business reporting and annual budget estimation, verify data calibers, and ensure the accuracy and logical rigor of the output materials. 5. Assist in unifying the statistical standards for operational data across various departments in the factory, coordinate cross-departmental operational matters, and simultaneously follow up on the implementation and feedback collection of various operational notices and systems. 6. Complete daily administrative tasks within the department, including archiving operational materials, organizing meeting minutes, coordinating basic affairs across departments, and providing logistical support for the team's daily operations.

1.硕士学历，英语、企业管理、统计学、工业工程等相关专业，优秀本科生也可应聘。 2.具备制造业实习或数据分析相关项目经验，了解良率、OEE等核心运营指标的基本定义。 3.精通Excel常用函数与数据透视表，能独立完成基础数据统计报表制作，了解Python基础数据分析方法者优先。 4.逻辑思维清晰，具备良好的沟通表达能力，能向非技术岗位的同事清晰传递数据结论与运营要求。 5.工作严谨细致，自驱力强，能适配制造型企业的现场工作节奏，具备较强的抗压能力与团队协作意识。 6.具备英文书写能力，CTE-4及以上，英文口语流利优先。 Qualifications 1. Master's degree holder, majoring in English, business management, statistics, industrial engineering, or related fields. Outstanding undergraduates are also welcome to apply. 2. Possess internship experience in manufacturing or project experience related to data analysis, and understand the basic definitions of core operational indicators such as yield and OEE. 3. Proficient in commonly used Excel functions and PivotTables, able to independently create basic data statistical reports, and those familiar with basic Python data analysis methods are preferred. 4. Possess clear logical thinking and excellent communication and expression skills, able to clearly convey data conclusions and operational requirements to colleagues in non-technical positions. 5. Rigorous and meticulous in work, strong self-motivation, able to adapt to the on-site work pace of manufacturing enterprises, possessing strong stress resistance and team collaboration awareness. 6. Possess English writing ability, with a CET-4 or higher certificate, and fluency in spoken English is preferred.